| 基于Elman神经网络的酵母废水中Zeta电位的建模 |
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| 引用本文：周海燕，艾矫燕.基于Elman神经网络的酵母废水中Zeta电位的建模[J].计算技术与自动化,2010,(4):20-22 |
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| 中文摘要:目前在废水处理中，絮凝剂的投放量是依靠经验确定。一般情况下，投放量都会稍多些，务必带来了一定的浪费。模型的建立不但能够真实地反映实际的工业过程，更是控制器设计的重要组成部分。本文是根据聚合氯化铝（PAC）投放量与Zeta电位的关系，利用Elman神经网络技术对其进行建模。仿真结果表明，模型具有良好的拟合及泛化能力。 |
| 中文关键词:Zeta电位 Elman网络 建模 |
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| Based on Elman Neural Network for the Waste Stream Zeta Potential of Modeling |
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| Abstract:In wastewater disposal , the use level of flocculant depends on the experience. In general, the use level will be a little more, be sure to cause a waste. the model could not a true reflection of the actual process of industry and is the designing of an important part of the controller. this article is based on the relationship of the use level of aggregations of aluminum （ pac ）and zeta potential , the use of nerve network technology Elman on the modeling. Simulation results show that the model is well fitting ability and generalization ability. |
| keywords:Zeta potential Elman neural network modeling |
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